Reproducing the experiments of the paper "Deep generative modeling for single-cell transcriptomics"
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Variational autoencoder for single-cell integration and transfer learning.
Efficient Image Captioning code in Torch, runs on GPU
UCLA T32 Single-Cell Analysis Workshop
ProkEvo - an automated, reproducible, and scalable framework for high-throughput bacterial popula...
Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.
MoveFormer: a Transformer-based model for step-selection animal movement modelling
Project repo for sc analysis course
Bechmarking seq2seq models on a range of multivariate regression datasets
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current ...
Taming Transformers for High-Resolution Image Synthesis